Acceptance factors of digitalization in hospitals: a mixed-methods study
ConclusionsThe factors contributing to human acceptance of digitalization-related change processes in hospitals were divided into subject-, object- and context-related aspects. The factors skill, education, affinity for digitalization, future of the workplace, participation as well as the perceived benefit were identified as significant influence factors on acceptance of digitalization in hospitals. (Source: Health and Technology)
Source: Health and Technology - September 8, 2023 Category: Information Technology Source Type: research
Electronic medical records and patient engagement: examining post-adoptive and non-adoptive behavior
ConclusionsThe study concluded that the UTAUT model can be effectively applied in healthcare settings to better understand patients ’ use of EMRs and improve health information exchange between healthcare providers and patients. Further exploration is needed to differentiate between various behaviors to better meet the needs of patients and improve health outcomes. Overall, the findings highlight the importance of considering patient factors when implementing EMR systems in healthcare settings. (Source: Health and Technology)
Source: Health and Technology - September 5, 2023 Category: Information Technology Source Type: research
The application of artificial intelligence: perceptions from healthcare professionals
ConclusionsThe findings of this study highlighted the valuable insights provided by healthcare executives regarding the current and future applications of AI in healthcare. The results emphasized the need for addressing regulatory barriers, enhancing data availability, mitigating bias, and ensuring transparency in AI systems. Despite the identified challenges, the study concluded that AI has a significant demand and potential in the healthcare industry for the future. (Source: Health and Technology)
Source: Health and Technology - September 5, 2023 Category: Information Technology Source Type: research
Electronic medical records and patient engagement: examining post-adoptive and non-adoptive behavior
ConclusionsThe study concluded that the UTAUT model can be effectively applied in healthcare settings to better understand patients ’ use of EMRs and improve health information exchange between healthcare providers and patients. Further exploration is needed to differentiate between various behaviors to better meet the needs of patients and improve health outcomes. Overall, the findings highlight the importance of considering patient factors when implementing EMR systems in healthcare settings. (Source: Health and Technology)
Source: Health and Technology - September 5, 2023 Category: Information Technology Source Type: research
The application of artificial intelligence: perceptions from healthcare professionals
ConclusionsThe findings of this study highlighted the valuable insights provided by healthcare executives regarding the current and future applications of AI in healthcare. The results emphasized the need for addressing regulatory barriers, enhancing data availability, mitigating bias, and ensuring transparency in AI systems. Despite the identified challenges, the study concluded that AI has a significant demand and potential in the healthcare industry for the future. (Source: Health and Technology)
Source: Health and Technology - September 5, 2023 Category: Information Technology Source Type: research
Is medical device regulatory compliance growing as fast as extended reality to avoid misunderstandings in the future?
ConclusionsXR will become intrinsic in everyday medical protocol and guidelines. The establishment of the IEEE Virtual Reality and Augmented Reality Working Group and the statement of VR for remoting surgery as a MDSW in MDCG 2019-11 are demonstration of the necessity of MD regulatory compliance in being able to keep up with the upcoming XR technologies. The Authors agree that the competent authorities should consider intervening in the European Regulative Compliance to cope with the revolution of Phygital in Healthcare and to regulate procedures involving the use of XR in medicine preventing future misunderstanding and cr...
Source: Health and Technology - September 2, 2023 Category: Information Technology Source Type: research
Physics audit of selected diagnostic X-Ray machines in Ghana: towards implementation of a national dosimetry audit programme
ConclusionsAnalyzed data from the pilot study has presented experiences to guide implementation of the audit project at national level. This is the first of such audit study performed in Ghana and West Africa sub-region. (Source: Health and Technology)
Source: Health and Technology - September 1, 2023 Category: Information Technology Source Type: research
Occupational health professionals ’ experiences with telehealth services: usage, perceived usefulness and ease of use
ConclusionsIn this survey, quite a fair agreement was found among occupational health professionals regarding the perceived usefulness and ease of use of telehealth services. However, the study results suggest that occupational telehealth services are most likely to be useful and easy to use when professionals ’ information and communication technology skills are at a good level. (Source: Health and Technology)
Source: Health and Technology - August 30, 2023 Category: Information Technology Source Type: research
Selecting the optimal transfer learning model for precise breast cancer diagnosis utilizing pre-trained deep learning models and histopathology images
AbstractBackgroundEvery year, around 1.5 million women worldwide receive a breast cancer diagnosis, which is why the mortality rate for women is rising. Scientists have developed Convolutional neural network models in recent years to simplify the breast cancer diagnosis process. CNN displays encouraging findings for cancer classification using image datasets. However, there are not yet any best-in-class standard models because big datasets are insufficient for training and verifying models.MethodTo fully utilize the transfer learning technique, researchers are now focusing on using pre-trained feature extraction models tra...
Source: Health and Technology - August 19, 2023 Category: Information Technology Source Type: research
